MAINTENANCE IN SUPPORTING THE SMOOTH PRODUCTION PROCESS AT HERDA CAFE PUGER JEMBER
Fitriani Wardatul Janah 1 , Muhamad Naely Azhad 2 , Ahmad Izzuddin 3 Management Study Program, Faculty of Economics and Business
Jember Muhammadiyah University Jl. Karimata no 49- Jember – Indonesia
e-Mail : [email protected] [email protected] [email protected]
ABSTRACT
The production process is managing raw goods (input) into processing (process) until they become finished goods (output) and Maintenance or maintenance is all activities that include efforts to keep the equipment system working as expected. To carry out machine maintenance, the probability method can be used as a method that is expected to determine effective and efficient maintenance so that it can support the smooth production process. This study aims to determine the effect of machine maintenance on the smooth production process at Herda Cafe Puger Jember, the results show that machine maintenance is proxied by the variables: repairing and checking the effect of the smooth production process at Herda Cafe Puger Jember. Through machine maintenance, manufacturers will be able to obtain a smooth production process through two repair and inspection approaches.
Keywords: repair, inspection, production process.
I INTRODUCTION
Along with the development of the times, from time to time the company is one of the efforts that must be considered in order to achieve the goals and objectives set, especially in modern times, one that must be considered is the problem of maintaining production machines and equipment. The competition that occurs between these food businesses encourages each company to create opportunities by implementing new ideas to attract consumer interest. The cafe business is a promising business for business people, not just as a dining area, many people use cafes as a gathering place.
Maintenance is a combination of various activities carried out to maintain production facilities including machines and other production equipment or to repair them to an expected condition. According to ( Heizer et al., 2017) there are two types of maintenance, namely firstly preventive maintenance includes carrying out routine inspections and repairs and maintaining the facility by carrying out appropriate repairs and secondly breakdown maintenance occurs when equipment is damaged. failure and must be repaired based on emergency or priority .
According to (Assauri, 2016) Maintenance or maintenance is all activities that include efforts to maintain the equipment system so that it works as expected. And also the machine as one of the elements that is very important for the company because it has a very important influence and role in carrying out the production process. Machines are used to simplify and assist workers in producing goods that are marketable.
The production process is a method of using the input of labor, equipment, and capital resources. The production process usually includes how to produce a product efficiently and productively so that it can be sold to be able to reach customers quickly from the quality of the product. And according to (Marrio, 1992) the production process begins with the input of raw materials, to the moment when the process is completed, with the productions of the unit of the commodity under consideration obtained through the transformation of those materials . means:
the production process starts from entering raw materials, then processed which is more complicated, with units of commodity production considered and thought through the transformation of raw materials.
Table 1 Production Achievement Data at Herda Cafe Puger Jember in 2021 No Month production targets Realized production
1. January 3,500 pcs 3,250 pcs
2. February 3,500 pcs 3,350 pcs
3. March 3,500 pcs 3,220 pcs
4. April 3,500 pcs 3,450 pcs
5. May 3,500 pcs 3,490 pcs
6. June 3,500 pcs 3,197 pcs
7. July 3,500 pcs 3,425 pcs
8. August 3,500 pcs 3,220 pcs
9. September 3,500 pcs 3,112 pcs
10. October 3,500 pcs 3,350 pcs
11. November 3,500 pcs 3,300 pcs
12. December 3,500 pcs 3,250 pcs
Data Source: Herda Cafe Puger Jember 2021
Based on the data in table 1.1, it can be seen that the production target by achieving production every month is not in accordance with what was targeted by the Herda Cafe Puger Jember company. This can seen from the achievement of the implementation of machine maintenance that has been improved in accordance with the Company's Operating Standards (SOP) should be able to support production process activities, but in reality the production process is not comparable to the maintenance that has been carried out.
II LITERATURE REVIEW
The production process is managing raw materials in processing (process) until they become finished goods (output). Therefore the company is inseparable from the production process in
carrying out its business so that it can run well, economically and can add to company profits.
According to (Assauri, 2016) the production process is a way of methods and techniques of how real resources are, namely labor, machinery, materials and capital that can be processed into results or products.
In the production process is divided into two types: first, the production process (continuous processes) and the second, (intermittent processes) . This section is from expert opinion regarding the types of production processes, namely according to (Assauri, 2016) states the types of production processes, namely:
1. Continuous processes are production processes using machines and equipment that are prepared to produce internal products long period of time / long, without changing for the type same production.
2. Intermittent processes is a production process that uses a short time in preparing equipment for rapid changes in order to be able to deal with changing product variations.
For every company must pay attention to the smooth production process in achieving its profit-oriented goals (profit), a company must be able to utilize all factors of production to be able to maintain and maintain the continuity of the production process, so every company must know what factors affect the smooth process production:
According to (Widagdo et al., 2016) the internal factors of production are capital, labor and management/ skills. and according to (Assauri, 2017) factors that affect the smooth production process include:
1. Natural production factors 2. Factors of labor production 3. Factors of capital production 4. Factors of production expertise
Through maintenance or maintenance carried out by the company to maintain an equipment or machine so that under predetermined conditions it can process production by minimizing existing costs. According to (Handoko, 2011) the purpose of maintenance is to maintain the reliability of the operating system at an acceptable level and continue to maximize profits or minimize costs. And according to (Prawirosentono, 2017) states that maintenance is to support the smooth running of the production process so that it runs effectively and efficiently.
III RESEARCH METHOD
The data collection method is carried out in several ways such as: following :
1. Direct observation, namely by making direct observations in the field with the aim of knowing directly the production activities of the company Herda Cafe Puger Jember.
2. Interviews conducted with authorized parties or concerned with the owner of the Herda Cafe and the Production section.
3. Secondary data collection is done manually by asking secondary data or reports from companies and collect data with download internet online media in the form of data from print media or the company's official website, or data from the production department of the company Herda Cafe Puger Jember.
Data analysis technique:
The method used by the author to analyze data and information has been obtained in maintenance, so with this the author uses the probability method to overcome existing problems.
As for the steps used by the author in this study, namely:
1. Descriptive analysis which aims to describe and obtain an in-depth and objective description of the engine maintenance analysis in order to increase productivity at Herda Cafe Puger Jember.
2. Calculate the probability of the amount of damage to the machine using formula:
𝑷 =𝒏𝒙
x = the number of damaged machines n = number of machine breakdowns
P = probability of failure during a certain month after maintenance
a. Calculating the amount of damage to the machine using the formula for the amount of damage:
Bn = N ∑ n1Pn + B(n-1)P1 + B ( n-2) P2 + … + B1P (n-1) Information:
Bn = amount of damage expected in the nth month N = Number of Machines (units)
Pn = probability of machine failure in period n
b. The formula for the smooth running of the production process is:
𝑝𝑒𝑛𝑐𝑎𝑝𝑎𝑖𝑎𝑛 𝑝𝑟𝑜𝑑𝑢𝑘𝑠𝑖
𝑡𝑎𝑟𝑔𝑒𝑡 𝑝𝑟𝑜𝑑𝑢𝑘𝑠𝑖 𝑥100%
The following are the criteria for the smooth running of the production process, namely:
>100% = very smooth
=100% = very smooth 80-100% = fairly smooth
<80% = substandard
c. Calculation of maintenance costs for several different 2021 periods can be made in tabular form as follows:
Table 2 calculation of maintenance costs for the period (2021)
Preventive maintena nce for M
months
Estimated amount of
damage in M months
(B)
Average amount of damage per month (b:a)
Cost of damage is
estimated per month (cx c2x N)
Estimated preventive maintenance
costs per month (1/M x C1 x
N)
required monthly maintenanc
e sub- policy costs (d +e )
1.
etc.
Data Source: Journal of Analysis of Machine Maintenance in Supporting the Smooth Production Process at PT. Tokai Dharma Indonesia Plant 1 Year 2021.
After calculating with the probability method, with so that the costs that must be incurred by the company can be known then the company knows what to do. Maintenance costs are good prevention or repair can be determined by the company and can affect the improvement of the production process. After that the company can determine how many times the machine maintenance can be done to run smoothly. that way the results of the production process will increase from before by looking at the percentage increase in production from usually the result of maintenance with this method will be improve the production process at Herda Cafe Puger Jember.
IV RESEARCH RESULTS
1. Probability formula 𝒑 =𝒙
𝒏
Description: x = many broken machines
n = number of machine breakdowns
p = probability of failure during a given month after maintenance
Table 3. Calculation of the probability of a broken machine at Herda Cafe Puger Jember in 2021
No Month Broken machine The probability that the machine is broken
1. January 1 1
6= 0,16
2. February 1 1
6= 0,16
3. March 2 2
6= 0,33
4. April 2 2
6= 0,33
5. May 2 2
6= 0,33
6. June 2 2
6= 0,33
7. July 1 1
6= 0,16
8. August 2 2
6= 0,33
9. September 4 4
6= 0,66
10. October 2 2
6= 0,33
11. November 2 2
6= 0,33
12. December 3 3
6= 0,5 Data Source: Processed by the author in 2021
Based on the probability calculation above, a table can be made probability of machine damage at Herda Cafe Puger Jember. Damage probability tableas follows:
Table 4 Probability of engine damage at Herda Cafe Puger Jember in 2021 Months after
maintenance (i)
Damage amount
(Pi)
Damage probability
(Pi)
Cumulative damage probability
(i.pi)
1. 1 time 0.16 0.16
2. 1 time 0.16 0.32
3. 2 times 0.33 0.99
4. 2 times 0.33 1.32
5. 2 times 0.33 1.65
6. 2 times 0.33 1.98
7. 1 time 0.16 1,12
8. 2 times 0.33 2.64
9. 4 times 0.66 5.94
10. 2 times 0.33 3,3
11. 2 times 0.33 3.63
12. 3 times 0.5 6
Total 24 times 3.95 29.05
Data Source: Processed by the author in 2021
In accordance with the calculation of the probability of engine damage, the estimated age of the engine is 29.05 months before it is damaged. To find out the estimated amount of engine damage, you can use the probability formula as follows:
2. The formula for the amount of damage :
Bn = N ∑ n1Pn + B(n-1)P1 + B ( n-2) P2 + … + B1P (n-1) Note:
Bn = estimated amount of damage in the nth month N = Number of Machines (6 machines)
Pn = probability of machine failure in period n Machine maintenance every month in 2021:
B1= N.P1 = 6 (0.16) = 0.96 B2= N (P1+P2) + B1.P1
= 6(0.16 + 0.16) + 0.96(0.16)
= 2.07 engines
B3= N (P1+P2+P3) + B2.P1 + B1.P2
= 6 (0.16 + 0.16 + 0.33) + 2.07 (0.16) + 0.96 (0.16)
= 4.38 engines
B4= N (P1+P2+P3+P4) + B3.P1 + B2.P2 + B1.P3
= 6 (0.16 + 0.16 + 0.33 + 0.33) + 4.38 (0.16) + 2.07 (0.16) + 0.96 (0.33)
= 7.22 engines
B5= N (P1+P2+P3+P4+P5) + B4.P1+ B3.P2 + B2.P3 + B1.P4
= 6 (0.16 + 0.16 + 0.33 + 0.33 + 0.33) + 7.22 (0.16) + 4.38 (0.16) + 2.07 (0.33) + 0.96 (0.33)
= 10.7 engines
B6= N (P1+P2+P3+P4+P5+P6) + B5.P1 + B4.P2 + B3.P3 + B2.P4 + B1.P5
= 6 (0.16 + 0.16 + 0.33+ 0.33 + 0.33 + 0.33) + 10.7 (0.16) + 7.22 (0.16) + 4.38 ( 0.33) + 2.07 (0.33) + 0.96 (0.33)
= 15.13 engines
B7= N (P1+P2+P3+P4+P5+P6+P7) + B6.P1 + B5.P2 + B4.P3 + B3.P4 + B2.P5 + B1.P6
= 6 (0.16 + 0.16 + 0.33 + 0.33 + 0.33 + 0.33 + 0.16) + 15.13 (0.16) + 10.7 (0.16) + 7.22 (0.33) + 4.38 (0.33) + 2.07 (0.33) + 0.96 (0.16)
= 19.55 engines
B8 = N (P1+P2+3+P4+P5+P6+P7+P8) + B7.P1 + B6.P2 + B5.P3 + B4.P4 + B3.P5 + B2.P6 + B1.P7
= 6 (0.16 + 0.16 + 0.33 + 0.33 + 0.33 + 0.33 + 0.16 + 0.33) + 19.55 (0.16) + 15.13 (0 .16) + 10.7 (0.33) + 7.22 (0.33) + 4.38 (0.33) + 2.07 (0.33) + 0.96 (0.16)
= 26.47 engines
B9 = N (P1+P+P3+P4+P5+P6+P7+P8+P9) + B8.P1 + B7.P2 + B6.P3 + B5.P4 + B4.P5 + B3.P6 + B2.P7 + B1. P8
= 6 (0.16 + 0.16 + 0.33 + 0.33 + 0.33 + 0.33 + 0.16 + 0.33 + 0.66) + 26.47 (0.16) + 19 .55 (0.16) + 15.13 (0.33) + 10.7 (0.33) + 7.22 (0.33) + 4.38 (0.16) + 2.07 (0, 33) + 0.96 (0.66)
= 31 machines
B10 = N (P1+P2+P3+P4+P5+P6+P7+P8+P9+P10) + B9.P1 + B8.P2 + B7.P3 + B6.P4 + B5.P5 + B4.P6 + B3 .P7 + B2.P8 + B1.P9
= 6 (0.16 + 0.16 + 0.33 + 0.33 + 0.33 + 0.33 + 0.16 + 0.33 + 0.66 + 0.33) + 31 (0.16) + 26.47 (0.16) + 19.55 (0.33) + 15.13 (0.33) + 10.7 (0.33) + 7.22 (0.33) + 4.38 ( 0.16) + 2.07 (0.33) + 0.96 (0.66)
= 41.27 engines
B11 = N (P1+P2+P3+P4+P5+P6+P6+P7+P8+P9+P10+P11) + B10.P1 + B9.P2 + B8.P3 + B7.P4 + B6.P5 + B5 .P6 + B4.P7 + B3.P8 + B2.P9 + B1.P10
= 6 (0.16 + 0.16 + 0.33 + 0.33 + 0.33 + 0.33 + 0.16 + 0.33 + 0.66 + 0.33 + 0.33) + 41, 27 (0.16) + 31 (0.16) + 26.47 (0.33) + 19.55 (0.33) + 15.13 (0.33) + 10.7 (0.33) + 7.22 (0.16) + 4.38 (0.33) + 2.07 (0.66) + 0.96 (0.33)
= 54.22 engines
B12 = N (P1+P2+P3+P4+P5+P6+P7+P8+P9+P10+P11+P12) + B11.P1 + B10.P2 + B9.P3 + B8.P4 + B7.P5 = B6 .P6 + B5.P7 + B4.P8 + B3.P9 + B2.P10 + B1.P11
= 6 (0.16 + 0.16 + 0.33 + 0.33 + 0.33 + 0.33 + 0.16 + 0.33 + 0.66 + 0.33 + 0.33 + 0.5 ) + 54.22 (0.16) + 41.27 (0.16) + 31 (0.33) + 26.47 (0.33) + 19.55 (0.33) + 15.13 (0 .33) + 10.7 (0.16) + 7.22 (0.33) + 4.38 (0.66) + 2.07 (0.33) + 0.96 (0.33)
= 71.34 engines
Thus the results of the calculations above, in order to clarify and facilitate the calculations by looking at the tableEstimated engine damage:
Table 5 Estimated Machine Damage
Maintenance Month Estimated damage
1 0.96
2 2.07
3 4.38
4 7,22
5 10,7
6 15,13
7 19.55
8 26,47
9 31
10 41,27
11 54,22
12 71.34
Data Source: Processed by the author in 2021
Expected average monthly engine damagecalculated using the following formula:
3. The formula for calculating the average engine damage 𝑗𝑢𝑚𝑙𝑎 ℎ 𝑘𝑒𝑟𝑢𝑠𝑎𝑘𝑎𝑛 𝑦𝑎𝑛𝑔 𝑑𝑖𝑝𝑒𝑟𝑘𝑖𝑟𝑎𝑘𝑎𝑛
𝑝𝑒𝑚𝑒𝑙𝑖 ℎ𝑎𝑟𝑎𝑎𝑛 𝑡𝑖𝑎𝑝 𝑏𝑢𝑙𝑎𝑛
Table 6 Calculation of Average Machine Damage
Month Calculation Amount
1 0.96 : 1 0.96
2 2.07 : 2 1.03
3 4.38 : 3 1.46
4 7.22 : 4 1.80
5 10.7 : 5 2,14
6 15.13 : 6 2.52
7 19.55 : 7 2.79
8 26.47 : 8 3.30
9 31 : 9 3,44
10 41,27 :10 4,12
11 54.22 : 11 4.92
12 71.34 : 12 5.94
Data Source: Processed by the author in 2021
Meanwhile, to calculate the estimated maintenance costs per month obtained by the following formula:
4. Repair cost formula
Average damage X estimated repair costs per month
This data is the result of calculations for the estimated cost of repairs for the next year, namely 2022.
Table 7 Calculation of estimated repair costs per month
Month Calculation Amount
1 0.96 x Rp. 3,346,000 Rp. 3,212,160
2 1.03 x Rp. 3,346,000 Rp. 3,446,380
3 1.46 x Rp. 3,346,000 Rp. 4,885,160
4 1.80 x Rp. 3,346,000 Rp. 6,022,800
5 2.14 x Rp. 3,346,000 Rp. 7,160,440
6 2.52 x Rp. 3,346,000 Rp. 8,431,920
7 2.79 x Rp. 3,346,000 Rp. 9,335,340
8 3.30 x Rp. 3,346,000 Rp. 11,041,800
9 3.44 x Rp. 3,346,000 Rp. 11,510,240
10 4.12 x Rp. 3,346,000 Rp. 13,785,520
11 4.92 x Rp. 3,346,000 Rp. 16,462,320
12 5.94 x Rp. 3,346,000 Rp. 19,875,240
Data Source: Processed by the author in 2021
5. Estimated prevention costs can be known by usingformula s:
𝐵𝑖𝑎𝑦𝑎 𝑝𝑒𝑛𝑐𝑒𝑔𝑎ℎ𝑎𝑛 = 𝐵𝑖𝑎𝑦𝑎 𝑝𝑒𝑚𝑒𝑙𝑖ℎ𝑎𝑟𝑎𝑎𝑛 𝑋 𝐽𝑢𝑚𝑙𝑎ℎ 𝑚𝑒𝑠𝑖𝑛 𝑃𝑒𝑚𝑒𝑙𝑖ℎ𝑎𝑟𝑎𝑎𝑛 𝑠𝑒𝑡𝑖𝑎𝑝 𝑏𝑢𝑙𝑎𝑛 Table 8 Calculation of estimated monthly prevention costs:
Month Calculation Amount
1 Rp. 167.000 x 6
1
Rp. 1,002,000
2 Rp. 167.000 x 6 2
Rp. 501,000
3 Rp. 167.000 x 6
3
Rp. 334,000
4 Rp. 167.000 x 6
4
Rp. 250,500
5 Rp. 167.000 x 6
5
Rp. 200,400
6 Rp. 167.000 x 6
6
Rp. 167,000
7 Rp. 167.000 x 6
7
Rp. 143,142
8 Rp. 167.000 x 6
8
Rp. 125,250
9 Rp. 167.000 x 6
9
Rp. 11
10 Rp. 167.000 x 6
10
Rp. 100,200
11 Rp. 167.000 x 6
11
Rp. 91,090
12 Rp. 167.000 x 6
12
Rp. 83,500 Data Source: Processed by the author in 2021
Thus, from the above data that has been processed by the author, wecan find out the costs of the minimum maintenance policyso that the machine continues to run well and work optimally .
Table 9 Calculation of Machine Maintenance Costs at Herda Cafe in 2021 (a)
Monthly preventive maintenance
(b) estimated amount of damage in a
month
(c) Average
amount of damage per month
(b:a)
(d)
damage costs per month (c x Rp. 3,346,000)
(e) maintenance
costs per month (1/M.C1.N) Rp.
167,000
(f) costs (d+e)
1 0.96 0.96 Rp. 3,212,160 Rp. 1,002,000 Rp. 4,214,160
2 2.07 1.03 Rp. 3,446,380 Rp. 501,000 Rp. 3,947,380
3 4.38 1.46 Rp. 4,885,160 Rp. 334,000 Rp. 5,219,160
4 7,22 1.80 Rp. 6,022,800 Rp. 250,500 Rp. 6,273,300
5 10,7 2,14 Rp. 7,160,440 Rp. 200,400 Rp. 7,360,840
6 15,13 2.52 Rp. 8,431,920 Rp. 167,000 Rp. 8,598,920
7 19.55 2.79 Rp. 9,335,340 Rp. 143,142 Rp. 9,478,482
8 26,47 3.30 Rp. 11,041,800 Rp. 125,250 Rp. 11,167,050
9 31 3,44 Rp. 11,510,240 Rp. 111,333 Rp. 11,621,573
10 41,27 4,12 Rp. 13,785,520 Rp. 100,200 Rp. 13,885,720 11 54,22 4.92 Rp. 16,462,320 Rp. 91,090 Rp. 16,553,410 12 71.34 5.94 Rp. 19,875,250 Rp. 83,500 Rp. 19,958,750
Data Source: Processed by the author in 2021
From the results of the calculation of the data above, the policy good maintenance and have low cost will be issued company if the company uses preventive maintenance. In table 9, costs can be obtained total monthly for lowest (minimum) preventive maintenance costs is the cost in column (f) which is Rp. 3,947,380 . Therefore, with the maintenance of production machines at Herda Cafe Puger Jember which is carried out every month and there is machine prevention, machine checkingcarried out every day so that the machine used for production can runwell and the output targets set by the company can be achieved as wellcan increase profits for the company.
From the results of the above calculations , the authors can conclude that Herda Cafe Puger Jember uses the probability method because after processing it can be known effective and efficient maintenance, namely maintenance that is carried out twice a month , because the costs incurred by the company are lowercompared to maintenance in other months.
The next step is to calculate the smoothness of the production process experienced by Herda Cafe Puger Jember . Companies often experience setbacksin achieving production time, so that the target production time has been set by the company rarely can be achieved. To calculate the smoothness of the production process :
𝑝𝑒𝑛𝑐𝑎𝑝𝑎𝑖𝑎𝑛 𝑝𝑟𝑜𝑑𝑢𝑘𝑠𝑖
𝑡𝑎𝑟𝑔𝑒𝑡 𝑝𝑟𝑜𝑑𝑢𝑘𝑠𝑖 𝑥100%
The following are the criteria for the smooth running of the production process, namely:
>100% = very smooth
=100% = very smooth 80-100% = fairly smooth
<80% = substandard
The following is the formula for calculating the production process carried out by the author as follows:
Production= 𝑂𝑢𝑡𝑝𝑢𝑡 𝑥 𝑤𝑎𝑘𝑡𝑢 𝑠𝑡𝑎𝑛𝑑𝑎𝑟𝑡
𝐽𝑢𝑚𝑙𝑎 ℎ 𝑡𝑒𝑛𝑎𝑔𝑎 𝑘𝑒𝑟𝑗𝑎 𝑥 𝑤𝑎𝑘𝑡𝑢 𝑘𝑒𝑟𝑗𝑎 𝑋 100
= 116 𝑢𝑛𝑖𝑡 𝑥 160 𝑚𝑒𝑛𝑖𝑡
10 𝑜𝑟𝑎𝑛𝑔 𝑥 720 𝑚𝑒𝑛𝑖𝑡𝑋 100
=18.560 7.200 𝑋 100
=
257 units/day – 116 units/day = 141 units/day X 30 days = 4,230 units/month Information :Output = Target of 3,500 units/month: 30 days = 116 units/day
Standard Time = 160 minutes of work
Total manpower = 10 people
Working time = 12 hours x 60 minutes = 720
Based on the results of the calculation of the data above, it can be seen that increasingthe production process produced by Herda Cafe Puger Jember increased production by 4,230 units every month, for example in January the target was 3,500 units and that was realized by the company is only 3,250 units, while researchers use productivity calculationscan add 4,320 units to 7,480 production unitsimprove the production process, so as to meet the target is said to have meet production targets.
So, with regular maintenance of production machines,the production process can run well and the output targets are determined by company can be achieved and increase profits for Herda Cafe Puger Jember. Maintenance is done to prevent damage so that the machine can work properly optimal for the product produced and if the production machine is always properly conditioned, it can improve the production process at Herda Cafe Puger Jember.
The following calculates the smoothness of the production process:
= 3.250
3.500 𝑋 100% = 93%
The following are the criteria for the smooth running of the production process, namely:
>100% = Very Current
=100% = Current 80-100% = Fairly Current
<80% = Substandard
Based on the results of the calculation of the data above, that the smooth process production produced by Herda Cafe Puger Jember for 1 year (12 months) that is equal to 93%
smooth production process so getting closer to 100% where the smooth production process is good approaching100% or more than 100%
V CONCLUSIONS AND SUGGESTIONS Conclusion
Based on the research results that have been presented in CHAPTER previously regarding the analysis of machine maintenance in order to improve smoothnessthe production process at Herda Cafe Puger Jember can be interestingconclusion as follows:
1. On the maintenance that has been carried out by Herda Cafe Puger Jember at the timeIt is both preventive and corrective. Where the company has doneroutine maintenance but still there is a machine that needs to be done repair, should be the company do the maintenance in a wayCheck after use the machine .
2. The smooth production process of Herda Cafe Puger Jember can be seen from the results of the research that have decreased and increased uncertain every month from the desired production target figureachieved by Herda Cafe Puger Jember . The main factor
that causes this because there are machines that are old and the human factor is less skilledin machine operation.
3. After being analyzed using the probability method it can be It is known that effective machine maintenance is effective maintenance carried out with a period of 1 month 2 times because after being tested with using the probability method obtained the lowest maintenance costs in the 9th month with a damage fee of Rp. 3,947,380 and preventive maintenance costsRp . 113,300 and smooth production produced by Herda Cafe Puger Jember93 % is said to be sufficient productionfluent.
Suggestion
Based on the conclusions of this study, the authors suggest companies to do:
1. The maintenance carried out by the company is further enhanced so as not to cause damage every month.
2. To improve the smoothness of the production process at Herda Cafe Puger Jember shoulddeterminethe age limit of the machine is suitable for use so that damage does not occur anduse a workforce that is skilled in operating the machine so as not tohampered during production activities carried out .
3. For academic use, the authors hope to broaden their horizons and become a reference for future researchers because according to the authors, this probability method predicts quite precisely when most machine breakdowns will occur, so that companies can determine the appropriate maintenance policy. The researcher hopes that this topic and the discussion that has been presented can generate curiosity to conduct further, more extensive research in order to obtain maximum results.
BIBLIOGRAPHY
Assauri. (2016). Inventory Types. Inventory Types .
Assauri. (2017). Production Operations Management (Goal Achievement. Sustainable Organization). In Production Operations Management (Goal Achievement. Sustainable Organization). (Vol. 3).
Handoko. (2011). Marketing Management First Edition Third Printing. Yogyakarta: BPFE .
Heizer, J., Render, B., & Munson, C. (2017). Twelfth Edition Operations Management. In Operations Management .
Mario, M. (1992), Production Process And Cambridge Technical Changes. greatBritain.
Prawirosentono, S. (2017). OPERATIONS MANAGEMENT: Analysis and Case Studies. In Bumi Aksara : JAKARTA. (Vol. 3).
Widagdo, AK, Widodo, A., & Ismail, M. (2016). Village Fund Management Accounting System. Journal of Economics and Business , 19 (2). https://doi.org/10.24914/jeb.v19i2.336
